89results about How to "Accurate identification method" patented technology

The invention discloses a method and system for tracking targets in a video based on the PTZ. The method comprises the following steps: 100, utilizing a Gaussian mixture modeling method for setting up a background model for a video image obtained by a camera in a preset position scene, and detecting the motion targets in a monitored video image immediately obtained by the camera in the preset position scene; 200, calculating a grey level histogram of the motion targets of the monitored video image, recording template information of the motion targets, and updating parameter information of the motion targets according to the video image immediately obtained by the camera; 300, conducting judgment according to the parameter information and controlling the camera to conduct the corresponding adjustment according to the judged result. The method and system for tracking the targets in the video based on the PTZ can initially and accurately track the motion targets and accurately distinguish the motion targets of the video image.

Provided are a camera shooting type remote water meter reading system achieving fast recognition and a reading recognition method thereof. The system comprises a camera, a fill light, a single-chip microcomputer, a storage and an RS485 circuit; the camera is arranged to be just opposite to a dial plate of a direct-reading character wheel water meter, the fill light is arranged near the camera, light is emitted to the dial plate of the direct-reading character wheel water meter, the single-chip microcomputer is connected with the camera, the fill light, the storage and the RS485 circuit separately, image information of the dial plate of the direct-reading character wheel water meter is shot by the camera and sent to the single-chip microcomputer, the single-chip microcomputer firstly trains dial plate image training samples to obtain feature vector matrices of numbers from 0 to 9 and form a factor matrix, then the collected dial plate image information is processed to obtain digital pictures of all character wheels, and finally an actual reading of the water meter dial plate is obtained by multiplying the digital picture of each character wheel by the factor matrix. According to the camera shooting type remote water meter reading system achieving fast recognition and the reading recognition method thereof, the problem that an existing water meter reading system single-chip microcomputer is out of memory can be effectively solved, and the cost of the water meter reading system is lowered.

The invention discloses separation, purification and identification methods of human amnion mesenchymal stem cells. The separation method of hAMSCs (human amnion mesenchymal stem cells) comprises the following steps: fragmentating human amnion; and carrying out two-step rotating digestion with trypsin of EDTA (ethylene diamine tetra-acetic acid) and collagenase of DNaseI, filtering with a steel mesh and collecting cell filtrate namely separated original hAMSCs. The purification method of hAMSCs comprises the following steps: incubating original hAMSCs with an LG (low glucose)-DMEM (dulbecco modified eagle medium) culture medium in a CO2 incubator; removing amnion epithelial cells which do not perform complete adherence growth under an inverted microscope; replacing a new culture medium on the third day; digesting with a trypsin-EDTA solution after cell converge degree reaches 80-90%; and collecting cells so as to obtain high-purity hAMSCs. The identification method of hAMSCs comprises the following steps: identifying hAMSCs and the amnion epithelial cells by adopting immunocytochemical staining vimentin and CK19; and detecting expressions of CD29, CD44, CD166, CD34 and CD45 by adopting a flow cytometry. The separation and purification methods disclosed by the invention have the advantages of high yield, high activity and high purity of hAMSCs; and the identification method is simple, convenient and precise.

The invention relates to a fast and intelligent waste plastic sorting method. The method comprises the steps of scanning the infrared spectrum of a sample with an attenuated total reflection fourier transform infrared spectrograph to obtain an infrared spectrum data matrix, pre-processing the data matrix including standardization and principal component analysis and dimensionality reduction, and carrying out cluster analysis on data with dimensionality reduced by means of the hierarchical clustering method. The result shows that the sample testing method is free of sample preprocessing and high in sample testing speed, and the accuracy of sorting of waste plastic can reach 100% by means of the principal component analysis - hierarchical clustering identification method. Therefore, fast and intelligent waste plastic sorting is achieved by means of attenuated total reflection fourier transform infrared spectrum and chemical mode combined identification.

The invention relates to the wireless network field, and discloses a method and a device for recognizing a pseudo WiFi network by a wireless terminal. The method comprises the following steps: whether four handshake packets appear in the current network communication data packet is monitored; if yes, at least one following step or a step combination is executed: A, whether the handshake information in the four handshake packets is consistent with the handshake information used when the WiFi network is accessed last time, if not consistent, the current WiFi network is determined to have a risk of belonging to a pseudo WiFi network; and B, after the WiFi network is accessed, a first route arriving at a specified IP address is acquired, whether the first route is consistent with a second route arriving at the specified IP address when the WiFi network is accessed last time is judged, and if not consistent, the current WiFi network is determined to have a risk of belonging to a pseudo WiFi network. A more precise recognition method is given to the pseudo WiFi network, and error judgment and missed judgment can be reduced.

The invention relates to a method for quickly and accurately identifying northern snakehead, Taiwan snakehead and hybrid snakehead. The method comprises the steps as follows: 1) synthesizing primers; 2) extracting DNAs (Deoxyribose Nucleic Acids) from the northern snakehead, the Taiwan snakehead and the hybrid snakehead [the northern snakehead (Venus symbol) * the Taiwan snakehead (Mars symbol)]; 3) carrying out SRAP-PCR (Sequence-Related Amplified Polymorphism-Polymerase Chain Reaction) reaction by adopting a renaturation temperature change method; 4) carrying out electrophoresis detection; and 5) combining the primers capable of being used for identifying the northern snakehead, the Taiwan snakehead and the hybrid snakehead [the northern snakehead (Venus symbol) * the Taiwan snakehead (Mars symbol)], processing stripes by using a Gelpro32 software, marking the sizes of the stripes, and identifying in other sampled groups. According to the method, the northern snakehead, the Taiwan snakehead and the hybrid snakehead [the northern snakehead (Venus symbol) * the Taiwan snakehead (Mars symbol)] can be easily identified by utilizing an SRAP technology by cutting away a small amount of fin rays or other fish tissue parts only without killing fishes.

The invention discloses a method for identifying lamb meat and adult mutton, which comprises the following steps of extracting metabonomics data of a sample to be detected, and carrying out chemometrics analysis on the detection data to extract characteristic information, analyzing through the chemometrics, establishing an analysis model to screen difference markers, and using the screened characteristic marker to identify the sample to be detected. A reliable and rapid identification method is provided for distinguishing the lamb meat from the adult mutton, the method is convenient, sensitiveand accurate, and the rapid identification on the mutton can be achieved by screening the difference marker through the analysis model.

The invention relates to an SSR (simple sequence repeat) molecular marker for detecting fertility of stamens of beta vulgaris and application of the SSR molecular marker, and can be applied to detecting fertility of stamens of beta vulgaris. By the aid of the SSR molecular marker and the application, the problems of deficiency of molecular markers related to fertility of stamens of beta vulgaris and difficulty in identifying the fertility of the stamens of the beta vulgaris can be solved. Primer pairs for carrying out PCR (polymerase chain reaction) amplification on the molecular marker are BvRE051-S and BvRE051-A. The SSR molecular marker can be used for identifying the fertility of the stamens of the beta vulgaris. The SSR molecular marker and the application have the advantages that the consistency of detection results obtained by the aid of the SSR molecular marker and the performance of traits of the fertility of the stamens of the beta vulgaris can reach 70% and can reach 63.33% and 76.67% in fertile and infertile individuals; chain relations between the SSR molecular marker and the fertility of the stamens are shown, and accordingly the SSR molecular marker can be used for detecting the fertility of the stamens.

The invention discloses a method for fast identifying frankliniella occidentalis. The method is based on the identification results of forms of six kinds of adult thrips such as frankliniella occidentalis and the like for respectively carrying out PCR amplification by using two pairs of frankliniella occidentalis specific primers F.OL1/F.OR and F.OL2/F.OR to establish the method for fast identifying the frankliniella occidentalis. The invention has the advantages of high speed, accuracy and good specificity, provides an effective identification measure for the quarantine pest of the frankliniella occidentalis, and has important meaning for protecting the ecological environment.

The invention relates to a standard detection sequence for a DNA bar code of Leuciscus waleckii and application of the standard detection sequence. The invention aims at providing the standard detection sequence for the DNA bar code of the Leuciscus waleckii and application of the standard detection sequence in species identification. The standard detection sequence is represented by SEQ ID NO:1 in a sequence table. By utilizing the standard detection sequence for the DNA bar code of the Leuciscus waleckii, the molecular identification of the Leuciscus waleckii can be realized, and the identification time can be effectively shortened. The standard detection sequence is used for identifying the Leuciscus waleckii.

The invention relates to a method for identifying a distribution transformer winding material. From the perspective of the design of a distribution transformer, the parameters of a basic material of a to-be-detected distribution transformer are acquired, the distribution transformer calculation data obtained in a design calculation manner is compared with data on a nameplate or real data, and the distribution transformer winding is judged to be aluminum material if the deviation of the calculation data and the data on the nameplate or the real data reaches a condition value; the condition value is that the current density is less than 1.5A/mm<2>, the load loss is more than 5 percent of a standard value or a nameplate value, the short-circuit impedance deviation exceeds 10%, the no-load loss exceeds the standard value or the nameplate value by 5%, the no-load loss exceeds the standard value or the nameplate value by 5%, the appearance size deviation is more than 8 percent, and the weight deviation is more than 10 percent. By adopting the method, the winding material of the distribution transformer can be conveniently, rapidly and accurately identified.

The invention discloses a short-tandem-repeats (STR) primer combination for source-traced identification on a beef product and a detection kit. The invention provides a primer kit for identifying beef. The primer kit is (1) or (2), wherein the (1) consists of primer pairs BM1818, ILSTS005, INRA032, INRA035, BM1824, HEL5, HEL13, ILSTS006, CSRM60, INRA005, INRA037, INRA063, ETH10, ETH225, NRA023 and TGLA1225; the (2) consists of a primer group A, a primer group B, a primer group C and a primer group D; the primer group A consists of primer pairs BM1818, ILSTS005, INRA032 and INRA035. According to the method provided by the invention, the selected 16 STR markers have the advantages that the polymorphism is high, the markers are not in linkage, amplified fragments have polymorphism, and genotyping is facilitated; primer sequences of different marker bits are grouped and are modified by using different fluorescent dyes, so that grouped multiplex PCR (Polymerase Chain Reaction) detection can be achieved, the cost is reduced, the time is shortened, and the efficiency is increased.

The invention relates to a PCR method identified by thelephora ganbajun Zang and a specific primer thereof. The Thelephora ganbajun Zang can be efficiently distinguished from other telephora and thelephora ganbajun Zang companion fungus with similar shape through DNA extraction, specificity PCR reaction and agarose gel electrophoresis detection, and a quick and accurate identification method is provided for the separation and purification of thelephora ganbajun. The invention has the advantages of high efficiency, speediness, strong specificity, good repeatability, and the like.

The invention relates to the technical field of internet of things, and provides a method and a device for identifying illegal machine card separation of the internet of things. The method comprises the steps of collecting data through a corresponding interface in the Internet of Things; and establishing a mapping relationship between the acquired data, and when it is detected that the mapping relationship between the identifier of a first terminal and/or the identifier of a first Internet of Things card is not matched with the mapping relationship between the identifier of the first terminaldevice and the identifier of the first Internet of Things card which are stored in history, performing Internet of Things illegal machine-card separation verification. An Internet of Things terminal portrait library is established by collecting signaling and service data in the Internet of Things and analyzing and extracting the terminal identifier, the Internet of Things card identifier, the signaling data and the service data, and the security of the Internet of Things terminal is effectively guaranteed based on the fingerprint in the terminal portrait library.

The invention discloses a key information infrastructure asset identification method combined with a mixed random forest, and belongs to the technical field of computers and information science. The method comprises the following steps of carrying out the structured processing on the collected facility asset data and carrying out the feature optimization expression to obtain an extended feature vector; in combination with a Delphi expert consultation method and a principal component analysis method, analyzing the key influence factors of the asset facilities, and extracting the key feature vectors; combining the plurality of random forest judgment models with a gating function to obtain a mixed random forest judgment model; and based on the constructed mixed random forest model, identifying whether the traffic is a key asset infrastructure or not. According to the key information infrastructure asset recognition method provided by the invention, the asset feature construction and the key factor extraction are realized by combining a machine learning method under big data, and the respective expert models are constructed by partitions, so that the recognition accuracy and efficiency are improved, and the generalization ability and expandability of the model are improved.

The invention belongs to the technical field of traditional Chinese medicine species identification, and provides a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method for identifying dinodon rufozonatum. The sequence of the premier is DK1-CO1:5'-CAA CTA ACC ACA AAG ACA TCG G-3', DK1-CO2:5'-CTT CTG GCT GGC CGA AAA ATC A-3'; and the characteristic DNA base sequence of dinodon rufozonatum is 5'-GTGCAC-3', which can be recognized and cut by restriction endonuclease APaL I. The identification comprises the following steps: extracting the DNA of a sample; using premiers DK1-CO1 and DK1-CO2 to carry out PCR amplification; using restriction endonuclease APaL I to digest the PCR products; carrying out agarose gel electrophoresis to obtain the analysis result; and comparing the analysis result with the PCR-RFLP characteristic result of dinodon rufozonatum to judge whether the provided sample is dinodon rufozonatum or not. The invention also provides a kit for the identification method. The identification is accurate, rapid, and reliable, and is capable of effectively identifying dinodon rufozonatum from other snakes.

The invention discloses a TLC identification method for Naoxinqing tablet and persimmon leaf extract. The method includes the following steps: a) a prepared test article is ground and porphyrized, methanol is added, and the mixture obtained is processed by ultrasonication and then is filtered; filter liquor is dried by distillation, water is added to residuals, the mixture obtained is thoroughly stirred so as to dissolve the residuals, filtration is carried out, hydrochloric acid is added to the filter liquor, absolute ether is used for shaking extraction, and an aether layer is separated to be obtained and then is dried by volatilization; the methanol is added for dissolving the residuals, and first test article solution can be obtained; b) proportioned with the chemical ingredients, a persimmon leaf is processed by the operations identical with the step a), and obtained liquor is used as a first reference drug solution; c) a protocatechuic acid reference substance is prepared and then is added with and dissolved in the methanol, and obtained liquor is used as a first reference substance solution; and d) the first test article solution, the first reference drug solution and the first reference substance solution are processed by the TLC analysis. The test article is not the Naoxinqing tablet or the persimmon leaf extract, providing that in the chromatogram of the test article,spots with the same color can not be displayed on corresponding positions on the chromatograms of the reference drug and the reference substance.

The invention relates to a dense sandstone oil-gas storage layer crack recognition method. The recognition method comprises the steps that firstly, the comprehensive expression form of the relation among the reservoir base block depth induction conductivity, porosity and the mud content is established; secondly, the mud content, the porosity and the depth induction conductivity corresponding to various depth sampling points of a single-well to-be-recognized well section sandstone reservoir section are obtained, a data fitting method is adopted in the same sandstone reservoir section for determining undetermined parameters in the comprehensive expression form, and the base block depth induction conductivity corresponding to various depth sampling points in the sandstone reservoir section isdetermined; and thirdly, comparison is conducted on the well logging response feature value of a depth induction conductivity curve corresponding to various depth sampling points in the same sandstone reservoir section and the base block depth induction conductivity, and when the depth induction conductivity of one section is larger than the base block depth induction conductivity, the section isjudged as a crack development section. By means of the recognition method, the crack development layer section of the dense sandstone oil-gas storage layer can be accurately and reliably recognized.

The embodiment of the invention provides an unmanned ship riverway garbage identification method and system, and the method comprises the steps: receiving a video image transmitted by an unmanned ship, and enabling the video image to be collected and obtained by a binocular stereo vision camera arranged on the unmanned ship; uploading the acquired video image to a cloud processing center through a5G high-speed network for real-time image processing, and performing feature point matching on a left-eye water surface image and a right-eye water surface image contained in the video image to obtain a feature point set, wherein the feature point set comprises at least one target feature point, and identifying a graph corresponding to the target feature point in the video image as river channelgarbage; and obtaining depth-of-field information of the river channel garbage based on the parameters of the binocular stereo vision camera. Compared with the prior art, the method for identifying the river channel garbage by utilizing human experience is more accurate; the riverway garbage can be further accurately positioned on the basis of identifying the riverway garbage, so that distance measuring equipment such as a radar is prevented from being mounted on the unmanned ship.

The invention relates to the field of domain molecular identification, in particular to a DNA barcode gene and an identification method for high resolution fusion analysis and identification of true and false of walnut milk. According to the DNA bar code gene and the identification method, specific primer pairs ITS2-152 for walnuts are designed, and the ITS2 gene sequence of 152bp is successfullyamplified; and a miniature DNA bar code is used, an HRM method is adopted, and true and false identification of the walnut milk is realized.

The invention relates to a quality detection method of a Jiuhua hemorrhoid suppository. The detection method disclosed by the invention comprises a method for identifying and determining rheum officinale, borneol, mangnolia officinalis and lithospermum, a method for determining the high performance liquid chromatography content of rheum officinale and a method for determining the gas chromatography content of borneol and isoborneol. The thin-layer identification method for rheum officinale, borneol, magnolia officinalis and lithospermum erythrorhizon comprises the following steps: taking jiuhua hemorrhoid suppository, grinding and adding methanol, dipping, filtering, evaporating filtrate to dryness, adding water into residues to dissolve, adding hydrochloric acid, heating, refluxing, immediately cooling, adding diethyl ether, shaking and extracting, merging diethyl ether liquid, recovering a solvent to dryness, adding methanol into residues to dissolve, and then taking the solution asa testing sample solution; taking a rhubarb reference medicinal material, preparing a reference medicinal material solution by the same method, taking a chrysophanol reference substance, and adding methanol to prepare a reference substance solution; and identifying according to the general rule 0502 in Chinese Pharmacopoeia 2015 edition by thin-layer chromatography.